• Thumbnail for Neural network (biology)
    A neural network, also called a neuronal network, is an interconnected population of neurons (typically containing multiple neural circuits). Biological...
    12 KB (1,342 words) - 21:06, 3 June 2024
  • to solve artificial intelligence problems. In the context of biology, a neural network is a population of biological neurons chemically connected to...
    7 KB (761 words) - 00:45, 26 March 2024
  • neural network in Wiktionary, the free dictionary. A neural network is an interconnected population of neurons: Neural network (biology), a network of...
    708 bytes (119 words) - 22:46, 17 February 2024
  • Thumbnail for Neural network (machine learning)
    In machine learning, a neural network (also artificial neural network or neural net, abbreviated ANN or NN) is a model inspired by the structure and function...
    157 KB (16,980 words) - 04:32, 29 May 2024
  • A recurrent neural network (RNN) is one of the two broad types of artificial neural network, characterized by direction of the flow of information between...
    72 KB (8,081 words) - 18:34, 20 May 2024
  • A graph neural network (GNN) belongs to a class of artificial neural networks for processing data that can be represented as graphs. In the more general...
    34 KB (3,874 words) - 03:59, 4 May 2024
  • Convolutional neural network (CNN) is a regularized type of feed-forward neural network that learns feature engineering by itself via filters (or kernel)...
    132 KB (14,865 words) - 01:54, 3 June 2024
  • A Siamese neural network (sometimes called a twin neural network) is an artificial neural network that uses the same weights while working in tandem on...
    12 KB (1,575 words) - 00:45, 13 April 2024
  • Thumbnail for Optical neural network
    An optical neural network (ONN) is a physical implementation of an artificial neural network with optical components. Early ONNs used a photorefractive...
    13 KB (1,304 words) - 18:39, 29 May 2024
  • Thumbnail for Deep learning
    methods based on neural networks with representation learning. The adjective "deep" refers to the use of multiple layers in the network. Methods used can...
    177 KB (17,587 words) - 05:50, 27 May 2024